Instructions to use dvb555/indobert-base-uncased-modified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dvb555/indobert-base-uncased-modified with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dvb555/indobert-base-uncased-modified")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dvb555/indobert-base-uncased-modified") model = AutoModelForSequenceClassification.from_pretrained("dvb555/indobert-base-uncased-modified", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload IndoBERT dengan istilah teknis tambahan untuk Judul Skripsi
Browse files- model.safetensors +1 -1
- pytorch_model.bin +3 -0
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pytorch_model.bin
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